경북대 데이터사이언스대학원 로봇촉각데이터 연구실
Robot Touch Data Lab · Graduate School of Data Science, Kyungpook National University
We study tactile data for robots and humans — building advanced fingertip sensors, learning multimodal representations from touch, and exploring the haptic world through big data.
로봇과 사람을 위한 촉각 데이터를 연구합니다 — 고도화된 핑거팁 센서를 만들고, 멀티모달 촉각 표현을 학습하며, 빅데이터 기반으로 햅틱스의 세계를 탐구합니다.
Research Focus
Our lab works on four main themes:
1
Advanced robotic fingertip sensors
2
Data-driven multimodal sensing
3
Object manipulation using robotic fingertip sensors
4
Haptics research grounded in touch big data
Who We're Looking For
- Students who are interested in robotics and AI but aren't sure where to start.
- Students who want to build rigorous, data-driven mathematical models.
- Students who want to grow soft skills such as academic English and paper writing.
For open positions, please see our recruitment page.
Open positions →news
| May 22, 2026 | Robotis Openlab에 초대 받았습니다. |
|---|---|
| May 21, 2026 | Physical AI Robot 워크샵에 다녀왔습니다. |
| Apr 09, 2026 | IEEE RoboSoft 2026 학회에서 성공적인 발표를 했습니다. |
| Feb 20, 2026 | 2025학년도 2학기 졸업식 거행! |
| Feb 06, 2026 | 한국로봇종합학술대회에서 남세광 교수가 신진연구자세션에서 발표를 하였습니다. |
selected publications
- TactiVerse: Generalizing Multi-Point Tactile Sensing in Soft Robotics Using Single-Point DataIn 2026 IEEE 9th International Conference on Soft Robotics (RoboSoft), 2026
- Channel-attention 1D-CNNs for Real-time Collision Detection in Human-robot Interaction via Audio Spectral FeaturesInternational Journal of Control, Automation and Systems, 2025
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- A Preliminary Study on Softness Optimization Using Machine Learning for the Digital Twin of Soft RobotsJournal of Institute of Control, Robotics and Systems, 2025